949 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at National University of Singapore
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community assessment and overall evaluation of the intervention, working closely with the PI and local research teams • Manage field-based data collection, including surveys, interviews, focus groups
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling
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player and ability to work independently, make informed decisions, and escalate when necessary ⦁ Flexibility to provide support during on-campus events and exams on weekdays or weekends More Information
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to details. Able to work effectively as a team member, as well as independently. Responsible and able to meet tight deadlines. Good knowledge in MS Office applications More Information Location: Kent Ridge
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data-driven insights. If you thrive in a fast-paced environment and have a growth mindset, we want to hear from you! Key Responsibilities: 1. Monitoring and Evaluating Learning Quality Track and analyze
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• Resourceful and self-driven with a high degree of professional integrity • Meticulous and demonstrable experience with HR metrics • Good knowledge of labour legislations and HR best practices More Information
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initiative and strong communication skills. Strong customer service orientation. More Information Location: Kent Ridge Campus Organization: School of Computing Department : Dean's Office (School of Computing
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expanding our systems team at NUS Enterprise to build the backbone of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven
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, when required. More Information Location: Kent Ridge Campus Organization: Office of Alumni Relations Department : Office of Alumni Relations Employee Referral Eligible: No Job requisition ID : 32030